Strategic Partnerships

Metaprise • New York, NY

22h • $70,000 - $90,000 • Onsite

About The Position

Let’s skip the buzzwords.
AI agents are about to become the dominant way enterprises execute work — not just assist it.
But there’s a fundamental problem no one has solved:
When hundreds of agents operate across systems for days — who authorized them, what boundaries they operate under, and how do you trust the outcome?
That’s the gap we’re building for.
Metaprise is building the operating system for enterprise AI workforces. Not a tool. Not a wrapper. Not a workflow builder. An Agent Operating System — where multiple agents can be deployed, coordinated, governed, and trusted at scale.
A unified execution runtime (AURA)
Built-in governance: identity, authority, audit
A mission-based execution model — pay only when work is completed
Deployable across cloud, hybrid, or fully air-gapped environments
Most companies today are stitching together fragmented layers:
LangChain → chaining logic
Temporal → execution reliability
Internal tooling → governance (if any)
We’re not another layer in that stack. We’re the operating system that makes the stack irrelevant. A complete, end-to-end solution for deploying, orchestrating, governing, and trusting AI agents at enterprise scale — not a piece of the puzzle, but the whole picture.
The product is built. The architecture is proven. The GTM motion is ready.
Now we need someone who can put this in the hands of the right customers — and define how enterprises actually run on agents.
This is a founding-team role. You will work directly with the CEO. There is no playbook to inherit, no territory map to follow, no manager between you and the decisions that matter. If that sounds like a risk, this isn’t the right seat. If it sounds like the opportunity you’ve been waiting for, keep reading.

Requirements

• Bachelor’s degree or above.
• Hands-on experience in B2B sales or go-to-market roles. Whether your background is in BDR, AE, GTM strategy, or strategic partnerships — you’ve been in the room, run a sales process, and know what it takes to move an enterprise deal forward.
• You have a real network — not a LinkedIn following, but actual relationships where people pick up when you call. In enterprise tech, cloud, consulting, AI, financial services, or adjacent ecosystems.
• You can translate what an agent execution runtime does into language a CFO, a Chief Risk Officer, or a Head of AI would actually respond to. You don’t need to write code, but you need to understand the product deeply enough to earn technical respect.
• You have strong instincts for where deals happen before an RFP is ever issued. You read rooms, not spreadsheets.
• You create surface area. You don’t wait for inbound leads, a territory assignment, or someone to tell you what to do next. If there’s no playbook, you write one.
• You’re energized by the ambiguity of an early-stage company, not drained by it. You want to build something, not just operate something that already works.

Responsibilities

• Activate your network across the full ecosystem. Your counterparts include enterprise clients — financial institutions, healthcare organizations, insurance companies, and large institutions looking to build their own end-to-end AI agent systems. But you’re also building relationships with AI model providers, cloud infrastructure vendors, and systems integrators — the partners whose platforms our customers run on. You map the landscape, identify where autonomous decision-making is creating governance gaps, and position Metaprise as the operating system that closes them.
• Build relationships with Heads of AI, Engineering, Risk, and the C-suite. Not through cold outreach or conference booths, but through the access and trust you’ve already built over your career.
• Drive conversations from first contact through use case identification to strategic partnership. You qualify where governance, auditability, and control are actively breaking — and you position Metaprise as the answer.
• Keep the CEO armed with deal context, stakeholder maps, and real market intelligence. What’s breaking. What enterprises actually need to deploy agents at scale. Where the urgency is highest.
• Feed product insight back into the team. You’re not just selling — you’re shaping what we build next based on what the market tells you directly.

Benefits

• A team that has done this before.
• A career-defining experience.
• Direct access to the highest-stakes conversations in enterprise AI.
• A real seat at the table.
• Performance-based compensation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level